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Install in OpenClaw
/install mini-analysis-column
Description
统计分析csv文件中某一列的表现
Usage Guidance
This skill appears to do exactly what it says: compute simple statistics on a numeric CSV column. If you install it: (1) run it locally or in a trusted environment; (2) install pandas via your normal package manager (prefer a virtualenv); (3) only pass CSV files you trust (the script reads the file you point it to); and (4) use --debug to inspect input shape/head if you want more confidence. There are no network calls or credential requests in the code.
Capability Analysis
Type: OpenClaw Skill
Name: mini-analysis-column
Version: 0.1.1
The skill bundle provides a standard utility for calculating basic statistics (max, min, mean) from a CSV file using the pandas library. The Python script (scripts/compute.py) and documentation (SKILL.md) are consistent with the stated purpose, and there is no evidence of malicious intent, data exfiltration, or suspicious execution patterns.
Capability Assessment
Purpose & Capability
Name/description say it analyzes a single CSV column; SKILL.md and scripts/compute.py only request a CSV file path and column name and perform max/min/mean. There are no unrelated credentials, binaries, or services required.
Instruction Scope
Instructions only ask to install pandas and run the script with --file and --rowkey. The script reads only the given CSV, prints basic stats and (optionally) debugging output. It does not read other system files, environment variables, or send data to external endpoints.
Install Mechanism
No install spec in the skill bundle; SKILL.md recommends 'pip install pandas', which is appropriate and proportionate for the task. (Installing packages from PyPI is standard; users should perform installs in a trusted environment.)
Credentials
The skill requires no environment variables, credentials, or config paths. The only input is a user-supplied CSV file path and column name, which aligns with the stated functionality.
Persistence & Privilege
Skill is not always-enabled and uses the normal model-invocation default. It does not attempt to modify agent configuration or request persistent privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mini-analysis-column - After installation, invoke the skill by name or use
/mini-analysis-column - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
- Update: Only numeric columns are now supported for statistical analysis; string column analysis has been removed.
- Add: Explicit dependency note for pandas installation.
- Change: Usage instructions updated to clarify that only numeric columns can be analyzed.
- Clarify: Documentation and notes now specify string columns are not supported.
v0.1.0
Initial release: Provides statistical analysis for a specified column in a CSV file.
- Automatically detects column type (numeric or string).
- For numeric columns: calculates max, min, and average values.
- For string columns: reports the count of unique values.
- Command-line interface with support for file path, column name, and debug mode.
- Requires the CSV file to contain headers.
Metadata
Frequently Asked Questions
What is Mini Analysis Column?
统计分析csv文件中某一列的表现. It is an AI Agent Skill for Claude Code / OpenClaw, with 80 downloads so far.
How do I install Mini Analysis Column?
Run "/install mini-analysis-column" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Mini Analysis Column free?
Yes, Mini Analysis Column is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Mini Analysis Column support?
Mini Analysis Column is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Mini Analysis Column?
It is built and maintained by fdmseven (@fdmseven); the current version is v0.1.1.
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